Senior Data Scientist
Thomson Reuters
AWSPythonSQLTableau
Job Level
Lead
Tech Stack
AWSCloudPythonSQL
About the role
- Partner with Product, Engineering, Customer Success, and other teams to translate business challenges into actionable analytical solutions.
- Build and maintain data assets, dashboards, and reports that deliver insights and unlock decision-making.
- Collaborate with Data Engineering to design and build data marts and pipelines in Snowflake & dbt that directly serve stakeholder needs.
- Translate complex business challenges into analytical frameworks, leveraging statistical modeling (e.g. regression analysis) to provide actionable recommendations and influence key decisions.
- Manage a prioritized backlog of requests, balancing competing stakeholder needs with business impact.
- Contribute to the company’s analytics strategy and roadmap, identifying opportunities with a 1–2 year horizon.
- Mentor analysts across the team, sharing best practices in analysis, stakeholder engagement, and data storytelling.
- Help establish standards and workflows for data analysis, reporting, and dashboard development.
Requirements
- 8+ years of experience delivering analytics across the data pipeline, from modeling to stakeholder engagement.
- Expert-level SQL and Python skills for data manipulation, analysis, and modeling.
- Proven success turning business needs into end-to-end data solutions, ideally with Snowflake and dbt.
- Strong track record collaborating with non-technical stakeholders, including executives, to communicate insights clearly and persuasively.
- Experience utilizing rigorous statistical methods, including regression modeling and hypothesis testing, to quantify business impact and drive key decisions.
- Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
